syllabus

Class times: 10:00 am - 10:50 am, MWF, Weber 223, Aug 22, 2015 - Dec 11, 2016

Office hours: MWF 11-12, Weber Hall 221

Course textbook: Linear Algebra: A Modern Introduction, 3rd edition, by David Poole

Midterm dates: Sept 28, Oct 26, Nov 30

The final exam is cumulative. The final exam time can be found here.

Course outline:

This course will cover chapters 1-6 in Poole, in order, along with a few other selected topics.

Homework:

Homework 1 (due Wednesday 9/7): Exercises 1.1 #8,10,20, Exercises 1.2 #2,8,20,30,59,62, Exercises 1.3 #12,14,16,18 pdf

Homework 2 (due Wednesday 9/14): Exercises 2.1 #16,22,24,30,34,40, Exercises 2.2 #2,8,11,13,25,27,33 pdf

Homework 3 (due Wednesday 9/21): Exercises 2.3 #3,5,7,9,11,16,43, Exercises 3.1 #17,18,21,22,23,29

Homework 4 (due Friday 9/30): Exercises 3.2 #23, 28, 36a, Exercises 3.3 #3,10,11,13,34,53,57, Exercises 3.4 #4,8,10

Homework 5 (due Monday 10/10): Exercises 3.5 #2,3,5,15,17,19,27,33,45,52, Exercises 3.6 #7,11,13,16

Homework 6 (due Monday 10/17): Exercises 3.6 #10,18,24, Exercises 4.1 #1,5,7,11,14,15,17,23,25

Homework 7 (due Monday 10/24): Exercises 4.2 #7,13,22,23,27,28,55, Exercises 4.3 #5,7,9,11,17,18,21

Homework 8 (due Monday 11/7): Exercises 4.4 #1,3,7,11,19, 36 (v3) or 38 (v4), 42 (v3) or 44 (v4),* Exercises 4.5 #10,14,16,22,25,26

Homework 9 (due Monday 11/14): Exercises 4.6 #7,8, Exercises 5.1 #5,9,14,17,20,30, Exercises 5.2 #1,3,5,11,17,21

Homework 10 (due Wednesday 11/30): Exercises 5.3 #1,3,5,13,15,18, Exercises 5.4 #1,5,17,19,21,25, Exercises 5.5 #42 (v3) or 20 (v4), 55 (v3) or 33 (v4)*

Homework 11 (due Friday 12/9): Exercises 7.3 #7,15,28, Exercises 7.4 #14,17,19,20,25,29,39,43,47

Practice problems for final exam solutions

The final exam is Friday Dec 16 at 7:30am in the usual room (Weber 223).

You may bring an 8.5x11 inch sheet of notes to the exam (writing on both sides is OK).

*Do the problem indicated for your version of the textbook

Unless otherwise specified, always show your work.

Solutions:

homework solutions (updated 12/9)

midterm 1 solutions

midterm 2 solutions

midterm 3 solutions

Midterm statistics (format is score range: # of students):

Midterm 1: 90-100: 14; 80-89: 8; 70-79: 6; 60-69: 4; 50-59: 3, 40-49: 2

Midterm 2: 90-100: 6; 80-89: 10; 70-79: 4; 60-69: 7; 50-59: 4; 40-49: 2; 30-39: 1; 20-29: 2

score histograms

Matlab scripts:

image_processing (SVD), random_walk_times, gauss_elim, richardson, jacobi, power_method,

QR factorization example , image processing (symmetric case), image processing (general case)

Most (all?) of these scripts can be executed online here.

Student submitted scripts for gaussian elimination (with partial pivoting): gauss2, backsub, pivot

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